Overview

Dataset statistics

Number of variables145
Number of observations3,900
Missing cells3,900
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory697.1 KiB
Average record size in memory183.0 B

Variable types

Numeric4
Boolean139
Categorical1
Unsupported1

Alerts

category_accessories is highly overall correlated with category_clothingHigh correlation
category_clothing is highly overall correlated with category_accessoriesHigh correlation
category_outerwear is highly overall correlated with item_purchased_coat and 1 other fieldsHigh correlation
cluster is highly overall correlated with discount_applied_no and 5 other fieldsHigh correlation
discount_applied_no is highly overall correlated with cluster and 7 other fieldsHigh correlation
discount_applied_yes is highly overall correlated with cluster and 7 other fieldsHigh correlation
gender_female is highly overall correlated with cluster and 5 other fieldsHigh correlation
gender_male is highly overall correlated with cluster and 5 other fieldsHigh correlation
item_purchased_coat is highly overall correlated with category_outerwearHigh correlation
item_purchased_jacket is highly overall correlated with category_outerwearHigh correlation
promo_code_used_no is highly overall correlated with cluster and 7 other fieldsHigh correlation
promo_code_used_yes is highly overall correlated with cluster and 7 other fieldsHigh correlation
size_l is highly overall correlated with size_mHigh correlation
size_m is highly overall correlated with size_lHigh correlation
subscription_status_no is highly overall correlated with discount_applied_no and 4 other fieldsHigh correlation
subscription_status_yes is highly overall correlated with discount_applied_no and 4 other fieldsHigh correlation
item_purchased_backpack is highly imbalanced (77.3%)Imbalance
item_purchased_belt is highly imbalanced (75.2%)Imbalance
item_purchased_blouse is highly imbalanced (74.0%)Imbalance
item_purchased_boots is highly imbalanced (77.2%)Imbalance
item_purchased_coat is highly imbalanced (75.2%)Imbalance
item_purchased_dress is highly imbalanced (74.6%)Imbalance
item_purchased_gloves is highly imbalanced (77.7%)Imbalance
item_purchased_handbag is highly imbalanced (76.1%)Imbalance
item_purchased_hat is highly imbalanced (76.0%)Imbalance
item_purchased_hoodie is highly imbalanced (76.4%)Imbalance
item_purchased_jacket is highly imbalanced (75.0%)Imbalance
item_purchased_jeans is highly imbalanced (79.7%)Imbalance
item_purchased_jewelry is highly imbalanced (74.0%)Imbalance
item_purchased_pants is highly imbalanced (74.0%)Imbalance
item_purchased_sandals is highly imbalanced (75.3%)Imbalance
item_purchased_scarf is highly imbalanced (75.7%)Imbalance
item_purchased_shirt is highly imbalanced (74.3%)Imbalance
item_purchased_shoes is highly imbalanced (76.5%)Imbalance
item_purchased_shorts is highly imbalanced (75.7%)Imbalance
item_purchased_skirt is highly imbalanced (75.5%)Imbalance
item_purchased_sneakers is highly imbalanced (77.1%)Imbalance
item_purchased_socks is highly imbalanced (75.4%)Imbalance
item_purchased_sunglasses is highly imbalanced (75.2%)Imbalance
item_purchased_sweater is highly imbalanced (74.8%)Imbalance
item_purchased_tshirt is highly imbalanced (76.8%)Imbalance
category_outerwear is highly imbalanced (58.7%)Imbalance
location_alabama is highly imbalanced (84.3%)Imbalance
location_alaska is highly imbalanced (86.7%)Imbalance
location_arizona is highly imbalanced (87.8%)Imbalance
location_arkansas is highly imbalanced (85.7%)Imbalance
location_california is highly imbalanced (83.5%)Imbalance
location_colorado is highly imbalanced (86.3%)Imbalance
location_connecticut is highly imbalanced (85.9%)Imbalance
location_delaware is highly imbalanced (84.7%)Imbalance
location_florida is highly imbalanced (87.3%)Imbalance
location_georgia is highly imbalanced (85.7%)Imbalance
location_hawaii is highly imbalanced (87.8%)Imbalance
location_idaho is highly imbalanced (83.7%)Imbalance
location_illinois is highly imbalanced (83.9%)Imbalance
location_indiana is highly imbalanced (85.7%)Imbalance
location_iowa is highly imbalanced (87.2%)Imbalance
location_kansas is highly imbalanced (88.1%)Imbalance
location_kentucky is highly imbalanced (85.7%)Imbalance
location_louisiana is highly imbalanced (85.0%)Imbalance
location_maine is highly imbalanced (86.0%)Imbalance
location_maryland is highly imbalanced (84.7%)Imbalance
location_massachusetts is highly imbalanced (86.7%)Imbalance
location_michigan is highly imbalanced (86.6%)Imbalance
location_minnesota is highly imbalanced (84.4%)Imbalance
location_mississippi is highly imbalanced (85.6%)Imbalance
location_missouri is highly imbalanced (85.4%)Imbalance
location_montana is highly imbalanced (83.3%)Imbalance
location_nebraska is highly imbalanced (84.6%)Imbalance
location_nevada is highly imbalanced (84.6%)Imbalance
location_new_hampshire is highly imbalanced (86.9%)Imbalance
location_new_jersey is highly imbalanced (87.5%)Imbalance
location_new_mexico is highly imbalanced (85.4%)Imbalance
location_new_york is highly imbalanced (84.6%)Imbalance
location_north_carolina is highly imbalanced (85.9%)Imbalance
location_north_dakota is highly imbalanced (85.1%)Imbalance
location_ohio is highly imbalanced (86.0%)Imbalance
location_oklahoma is highly imbalanced (86.3%)Imbalance
location_oregon is highly imbalanced (86.4%)Imbalance
location_pennsylvania is highly imbalanced (86.4%)Imbalance
location_rhode_island is highly imbalanced (88.1%)Imbalance
location_south_carolina is highly imbalanced (86.1%)Imbalance
location_south_dakota is highly imbalanced (87.0%)Imbalance
location_tennessee is highly imbalanced (86.0%)Imbalance
location_texas is highly imbalanced (86.0%)Imbalance
location_utah is highly imbalanced (86.9%)Imbalance
location_vermont is highly imbalanced (84.9%)Imbalance
location_virginia is highly imbalanced (86.0%)Imbalance
location_washington is highly imbalanced (86.6%)Imbalance
location_west_virginia is highly imbalanced (85.4%)Imbalance
location_wisconsin is highly imbalanced (86.3%)Imbalance
location_wyoming is highly imbalanced (86.9%)Imbalance
size_xl is highly imbalanced (50.0%)Imbalance
color_beige is highly imbalanced (76.8%)Imbalance
color_black is highly imbalanced (74.5%)Imbalance
color_blue is highly imbalanced (76.2%)Imbalance
color_brown is highly imbalanced (77.6%)Imbalance
color_charcoal is highly imbalanced (76.1%)Imbalance
color_cyan is highly imbalanced (74.6%)Imbalance
color_gold is highly imbalanced (77.9%)Imbalance
color_gray is highly imbalanced (75.4%)Imbalance
color_green is highly imbalanced (74.3%)Imbalance
color_indigo is highly imbalanced (76.8%)Imbalance
color_lavender is highly imbalanced (76.8%)Imbalance
color_magenta is highly imbalanced (76.2%)Imbalance
color_maroon is highly imbalanced (75.5%)Imbalance
color_olive is highly imbalanced (73.4%)Imbalance
color_orange is highly imbalanced (76.0%)Imbalance
color_peach is highly imbalanced (76.6%)Imbalance
color_pink is highly imbalanced (76.1%)Imbalance
color_purple is highly imbalanced (76.4%)Imbalance
color_red is highly imbalanced (76.7%)Imbalance
color_silver is highly imbalanced (73.8%)Imbalance
color_teal is highly imbalanced (73.9%)Imbalance
color_turquoise is highly imbalanced (77.1%)Imbalance
color_violet is highly imbalanced (74.6%)Imbalance
color_white is highly imbalanced (77.4%)Imbalance
color_yellow is highly imbalanced (73.7%)Imbalance
distance has 3900 (100.0%) missing valuesMissing
distance is an unsupported type, check if it needs cleaning or further analysisUnsupported
age has 69 (1.8%) zerosZeros
purchase_amount_usd has 52 (1.3%) zerosZeros
review_rating has 66 (1.7%) zerosZeros
previous_purchases has 83 (2.1%) zerosZeros

Reproduction

Analysis started2024-04-05 01:52:37.695853
Analysis finished2024-04-05 01:54:55.246105
Duration2 minutes and 17.55 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

age
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50131657
Minimum0
Maximum1
Zeros69
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size30.6 KiB
2024-04-04T19:54:55.730560image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.038461538
Q10.25
median0.5
Q30.75
95-th percentile0.96153846
Maximum1
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.29245364
Coefficient of variation (CV)0.58337118
Kurtosis-1.1950871
Mean0.50131657
Median Absolute Deviation (MAD)0.25
Skewness-0.0063797217
Sum1955.1346
Variance0.08552913
MonotonicityNot monotonic
2024-04-04T19:54:56.314292image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9807692308 88
 
2.3%
0.75 87
 
2.2%
0.4423076923 86
 
2.2%
0.1346153846 85
 
2.2%
0.5961538462 84
 
2.2%
0.6153846154 83
 
2.1%
0.6923076923 83
 
2.1%
0.1730769231 83
 
2.1%
0.8461538462 83
 
2.1%
0.2692307692 82
 
2.1%
Other values (43) 3056
78.4%
ValueCountFrequency (%)
0 69
1.8%
0.01923076923 81
2.1%
0.03846153846 62
1.6%
0.05769230769 69
1.8%
0.07692307692 66
1.7%
0.09615384615 71
1.8%
0.1153846154 68
1.7%
0.1346153846 85
2.2%
0.1538461538 69
1.8%
0.1730769231 83
2.1%
ValueCountFrequency (%)
1 67
1.7%
0.9807692308 88
2.3%
0.9615384615 75
1.9%
0.9423076923 54
1.4%
0.9230769231 71
1.8%
0.9038461538 72
1.8%
0.8846153846 73
1.9%
0.8653846154 75
1.9%
0.8461538462 83
2.1%
0.8269230769 65
1.7%

purchase_amount_usd
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49705449
Minimum0
Maximum1
Zeros52
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size30.6 KiB
2024-04-04T19:54:56.723650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0375
Q10.2375
median0.5
Q30.7625
95-th percentile0.950625
Maximum1
Range1
Interquartile range (IQR)0.525

Descriptive statistics

Standard deviation0.2960674
Coefficient of variation (CV)0.59564376
Kurtosis-1.2365937
Mean0.49705449
Median Absolute Deviation (MAD)0.2625
Skewness0.012701758
Sum1938.5125
Variance0.087655907
MonotonicityNot monotonic
2024-04-04T19:54:57.115312image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.925 62
 
1.6%
0.15 62
 
1.6%
0.2 62
 
1.6%
0.3875 61
 
1.6%
0.875 60
 
1.5%
0.6 59
 
1.5%
0.0375 57
 
1.5%
0.1125 56
 
1.4%
0.0625 56
 
1.4%
0.9625 55
 
1.4%
Other values (71) 3310
84.9%
ValueCountFrequency (%)
0 52
1.3%
0.0125 46
1.2%
0.025 44
1.1%
0.0375 57
1.5%
0.05 50
1.3%
0.0625 56
1.4%
0.075 51
1.3%
0.0875 40
1.0%
0.1 51
1.3%
0.1125 56
1.4%
ValueCountFrequency (%)
1 36
0.9%
0.9875 52
1.3%
0.975 52
1.3%
0.9625 55
1.4%
0.95 53
1.4%
0.9375 51
1.3%
0.925 62
1.6%
0.9125 46
1.2%
0.9 38
1.0%
0.8875 51
1.3%

review_rating
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49997949
Minimum0
Maximum1
Zeros66
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size30.6 KiB
2024-04-04T19:54:57.507999image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.24
median0.48
Q30.76
95-th percentile0.96
Maximum1
Range1
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation0.28648913
Coefficient of variation (CV)0.57300176
Kurtosis-1.1796283
Mean0.49997949
Median Absolute Deviation (MAD)0.24
Skewness0.0045245964
Sum1949.92
Variance0.082076019
MonotonicityNot monotonic
2024-04-04T19:54:57.885780image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.36 182
 
4.7%
0.6 181
 
4.6%
0.84 174
 
4.5%
0.68 171
 
4.4%
0.16 170
 
4.4%
0.96 166
 
4.3%
0.56 163
 
4.2%
0.2 162
 
4.2%
0.04 159
 
4.1%
0.76 158
 
4.1%
Other values (16) 2214
56.8%
ValueCountFrequency (%)
0 66
 
1.7%
0.04 159
4.1%
0.08 154
3.9%
0.12 136
3.5%
0.16 170
4.4%
0.2 162
4.2%
0.24 157
4.0%
0.28 152
3.9%
0.32 152
3.9%
0.36 182
4.7%
ValueCountFrequency (%)
1 68
 
1.7%
0.96 166
4.3%
0.92 144
3.7%
0.88 148
3.8%
0.84 174
4.5%
0.8 139
3.6%
0.76 158
4.1%
0.72 147
3.8%
0.68 171
4.4%
0.64 148
3.8%

previous_purchases
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49697017
Minimum0
Maximum1
Zeros83
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size30.6 KiB
2024-04-04T19:54:58.234277image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.040816327
Q10.24489796
median0.48979592
Q30.75510204
95-th percentile0.95918367
Maximum1
Range1
Interquartile range (IQR)0.51020408

Descriptive statistics

Standard deviation0.29483929
Coefficient of variation (CV)0.59327361
Kurtosis-1.1901874
Mean0.49697017
Median Absolute Deviation (MAD)0.24489796
Skewness0.0031211555
Sum1938.1837
Variance0.086930206
MonotonicityNot monotonic
2024-04-04T19:54:58.619550image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.612244898 97
 
2.5%
0.4081632653 96
 
2.5%
0.2653061224 92
 
2.4%
0.4693877551 91
 
2.3%
0.04081632653 91
 
2.3%
0.0612244898 91
 
2.3%
0.9591836735 90
 
2.3%
0.9387755102 90
 
2.3%
0.08163265306 87
 
2.2%
0.1020408163 87
 
2.2%
Other values (40) 2988
76.6%
ValueCountFrequency (%)
0 83
2.1%
0.02040816327 72
1.8%
0.04081632653 91
2.3%
0.0612244898 91
2.3%
0.08163265306 87
2.2%
0.1020408163 87
2.2%
0.1224489796 65
1.7%
0.1428571429 67
1.7%
0.1632653061 65
1.7%
0.1836734694 76
1.9%
ValueCountFrequency (%)
1 77
2.0%
0.9795918367 58
1.5%
0.9591836735 90
2.3%
0.9387755102 90
2.3%
0.9183673469 78
2.0%
0.8979591837 83
2.1%
0.8775510204 72
1.8%
0.8571428571 64
1.6%
0.8367346939 83
2.1%
0.8163265306 70
1.8%

gender_female
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2652 
True
1248 
ValueCountFrequency (%)
False 2652
68.0%
True 1248
32.0%
2024-04-04T19:54:58.965467image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

gender_male
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
True
2652 
False
1248 
ValueCountFrequency (%)
True 2652
68.0%
False 1248
32.0%
2024-04-04T19:54:59.113657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_backpack
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3757 
True
 
143
ValueCountFrequency (%)
False 3757
96.3%
True 143
 
3.7%
2024-04-04T19:54:59.306657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_belt
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3739 
True
 
161
ValueCountFrequency (%)
False 3739
95.9%
True 161
 
4.1%
2024-04-04T19:54:59.555737image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_blouse
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3729 
True
 
171
ValueCountFrequency (%)
False 3729
95.6%
True 171
 
4.4%
2024-04-04T19:54:59.787487image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_boots
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3756 
True
 
144
ValueCountFrequency (%)
False 3756
96.3%
True 144
 
3.7%
2024-04-04T19:54:59.998206image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_coat
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3739 
True
 
161
ValueCountFrequency (%)
False 3739
95.9%
True 161
 
4.1%
2024-04-04T19:55:00.304857image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_dress
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3734 
True
 
166
ValueCountFrequency (%)
False 3734
95.7%
True 166
 
4.3%
2024-04-04T19:55:00.537412image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_gloves
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3760 
True
 
140
ValueCountFrequency (%)
False 3760
96.4%
True 140
 
3.6%
2024-04-04T19:55:00.753469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_handbag
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3747 
True
 
153
ValueCountFrequency (%)
False 3747
96.1%
True 153
 
3.9%
2024-04-04T19:55:00.980360image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_hat
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3746 
True
 
154
ValueCountFrequency (%)
False 3746
96.1%
True 154
 
3.9%
2024-04-04T19:55:01.173094image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_hoodie
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3749 
True
 
151
ValueCountFrequency (%)
False 3749
96.1%
True 151
 
3.9%
2024-04-04T19:55:01.409424image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_jacket
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3737 
True
 
163
ValueCountFrequency (%)
False 3737
95.8%
True 163
 
4.2%
2024-04-04T19:55:01.696418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_jeans
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3776 
True
 
124
ValueCountFrequency (%)
False 3776
96.8%
True 124
 
3.2%
2024-04-04T19:55:01.910272image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_jewelry
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3729 
True
 
171
ValueCountFrequency (%)
False 3729
95.6%
True 171
 
4.4%
2024-04-04T19:55:02.125976image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_pants
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3729 
True
 
171
ValueCountFrequency (%)
False 3729
95.6%
True 171
 
4.4%
2024-04-04T19:55:02.314145image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_sandals
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3740 
True
 
160
ValueCountFrequency (%)
False 3740
95.9%
True 160
 
4.1%
2024-04-04T19:55:02.554496image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_scarf
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3743 
True
 
157
ValueCountFrequency (%)
False 3743
96.0%
True 157
 
4.0%
2024-04-04T19:55:02.743608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_shirt
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3731 
True
 
169
ValueCountFrequency (%)
False 3731
95.7%
True 169
 
4.3%
2024-04-04T19:55:03.052394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_shoes
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3750 
True
 
150
ValueCountFrequency (%)
False 3750
96.2%
True 150
 
3.8%
2024-04-04T19:55:03.339942image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_shorts
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3743 
True
 
157
ValueCountFrequency (%)
False 3743
96.0%
True 157
 
4.0%
2024-04-04T19:55:03.613304image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_skirt
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3742 
True
 
158
ValueCountFrequency (%)
False 3742
95.9%
True 158
 
4.1%
2024-04-04T19:55:03.837498image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_sneakers
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3755 
True
 
145
ValueCountFrequency (%)
False 3755
96.3%
True 145
 
3.7%
2024-04-04T19:55:04.083695image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_socks
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3741 
True
 
159
ValueCountFrequency (%)
False 3741
95.9%
True 159
 
4.1%
2024-04-04T19:55:04.300537image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_sunglasses
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3739 
True
 
161
ValueCountFrequency (%)
False 3739
95.9%
True 161
 
4.1%
2024-04-04T19:55:04.552529image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_sweater
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3736 
True
 
164
ValueCountFrequency (%)
False 3736
95.8%
True 164
 
4.2%
2024-04-04T19:55:04.760875image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

item_purchased_tshirt
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3753 
True
 
147
ValueCountFrequency (%)
False 3753
96.2%
True 147
 
3.8%
2024-04-04T19:55:04.997007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

category_accessories
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2660 
True
1240 
ValueCountFrequency (%)
False 2660
68.2%
True 1240
31.8%
2024-04-04T19:55:05.233633image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

category_clothing
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2163 
True
1737 
ValueCountFrequency (%)
False 2163
55.5%
True 1737
44.5%
2024-04-04T19:55:05.456122image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3301 
True
599 
ValueCountFrequency (%)
False 3301
84.6%
True 599
 
15.4%
2024-04-04T19:55:05.709707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

category_outerwear
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3576 
True
 
324
ValueCountFrequency (%)
False 3576
91.7%
True 324
 
8.3%
2024-04-04T19:55:05.934432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_alabama
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3811 
True
 
89
ValueCountFrequency (%)
False 3811
97.7%
True 89
 
2.3%
2024-04-04T19:55:06.142525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_alaska
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3828 
True
 
72
ValueCountFrequency (%)
False 3828
98.2%
True 72
 
1.8%
2024-04-04T19:55:06.385584image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_arizona
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3835 
True
 
65
ValueCountFrequency (%)
False 3835
98.3%
True 65
 
1.7%
2024-04-04T19:55:06.712445image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_arkansas
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3821 
True
 
79
ValueCountFrequency (%)
False 3821
98.0%
True 79
 
2.0%
2024-04-04T19:55:06.917719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_california
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3805 
True
 
95
ValueCountFrequency (%)
False 3805
97.6%
True 95
 
2.4%
2024-04-04T19:55:07.155980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_colorado
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3825 
True
 
75
ValueCountFrequency (%)
False 3825
98.1%
True 75
 
1.9%
2024-04-04T19:55:07.352628image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_connecticut
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3822 
True
 
78
ValueCountFrequency (%)
False 3822
98.0%
True 78
 
2.0%
2024-04-04T19:55:07.522596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_delaware
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3814 
True
 
86
ValueCountFrequency (%)
False 3814
97.8%
True 86
 
2.2%
2024-04-04T19:55:07.735871image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_florida
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3832 
True
 
68
ValueCountFrequency (%)
False 3832
98.3%
True 68
 
1.7%
2024-04-04T19:55:07.908993image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_georgia
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3821 
True
 
79
ValueCountFrequency (%)
False 3821
98.0%
True 79
 
2.0%
2024-04-04T19:55:08.113547image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_hawaii
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3835 
True
 
65
ValueCountFrequency (%)
False 3835
98.3%
True 65
 
1.7%
2024-04-04T19:55:08.278395image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_idaho
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3807 
True
 
93
ValueCountFrequency (%)
False 3807
97.6%
True 93
 
2.4%
2024-04-04T19:55:08.484299image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_illinois
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3808 
True
 
92
ValueCountFrequency (%)
False 3808
97.6%
True 92
 
2.4%
2024-04-04T19:55:08.706839image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_indiana
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3821 
True
 
79
ValueCountFrequency (%)
False 3821
98.0%
True 79
 
2.0%
2024-04-04T19:55:08.990127image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_iowa
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3831 
True
 
69
ValueCountFrequency (%)
False 3831
98.2%
True 69
 
1.8%
2024-04-04T19:55:09.362334image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_kansas
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3837 
True
 
63
ValueCountFrequency (%)
False 3837
98.4%
True 63
 
1.6%
2024-04-04T19:55:09.684727image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_kentucky
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3821 
True
 
79
ValueCountFrequency (%)
False 3821
98.0%
True 79
 
2.0%
2024-04-04T19:55:09.995173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_louisiana
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3816 
True
 
84
ValueCountFrequency (%)
False 3816
97.8%
True 84
 
2.2%
2024-04-04T19:55:10.242154image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_maine
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3823 
True
 
77
ValueCountFrequency (%)
False 3823
98.0%
True 77
 
2.0%
2024-04-04T19:55:10.480925image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_maryland
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3814 
True
 
86
ValueCountFrequency (%)
False 3814
97.8%
True 86
 
2.2%
2024-04-04T19:55:10.712581image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_massachusetts
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3828 
True
 
72
ValueCountFrequency (%)
False 3828
98.2%
True 72
 
1.8%
2024-04-04T19:55:10.939562image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_michigan
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3827 
True
 
73
ValueCountFrequency (%)
False 3827
98.1%
True 73
 
1.9%
2024-04-04T19:55:11.140740image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_minnesota
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3812 
True
 
88
ValueCountFrequency (%)
False 3812
97.7%
True 88
 
2.3%
2024-04-04T19:55:11.354822image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_mississippi
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3820 
True
 
80
ValueCountFrequency (%)
False 3820
97.9%
True 80
 
2.1%
2024-04-04T19:55:11.528689image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_missouri
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3819 
True
 
81
ValueCountFrequency (%)
False 3819
97.9%
True 81
 
2.1%
2024-04-04T19:55:11.710183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_montana
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3804 
True
 
96
ValueCountFrequency (%)
False 3804
97.5%
True 96
 
2.5%
2024-04-04T19:55:11.916970image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_nebraska
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3813 
True
 
87
ValueCountFrequency (%)
False 3813
97.8%
True 87
 
2.2%
2024-04-04T19:55:12.103360image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_nevada
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3813 
True
 
87
ValueCountFrequency (%)
False 3813
97.8%
True 87
 
2.2%
2024-04-04T19:55:12.289857image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_new_hampshire
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3829 
True
 
71
ValueCountFrequency (%)
False 3829
98.2%
True 71
 
1.8%
2024-04-04T19:55:12.528636image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_new_jersey
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3833 
True
 
67
ValueCountFrequency (%)
False 3833
98.3%
True 67
 
1.7%
2024-04-04T19:55:12.707916image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_new_mexico
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3819 
True
 
81
ValueCountFrequency (%)
False 3819
97.9%
True 81
 
2.1%
2024-04-04T19:55:12.897810image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_new_york
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3813 
True
 
87
ValueCountFrequency (%)
False 3813
97.8%
True 87
 
2.2%
2024-04-04T19:55:13.169103image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_north_carolina
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3822 
True
 
78
ValueCountFrequency (%)
False 3822
98.0%
True 78
 
2.0%
2024-04-04T19:55:13.370754image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_north_dakota
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3817 
True
 
83
ValueCountFrequency (%)
False 3817
97.9%
True 83
 
2.1%
2024-04-04T19:55:13.595281image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_ohio
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3823 
True
 
77
ValueCountFrequency (%)
False 3823
98.0%
True 77
 
2.0%
2024-04-04T19:55:13.859249image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_oklahoma
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3825 
True
 
75
ValueCountFrequency (%)
False 3825
98.1%
True 75
 
1.9%
2024-04-04T19:55:14.055675image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_oregon
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3826 
True
 
74
ValueCountFrequency (%)
False 3826
98.1%
True 74
 
1.9%
2024-04-04T19:55:14.453050image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_pennsylvania
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3826 
True
 
74
ValueCountFrequency (%)
False 3826
98.1%
True 74
 
1.9%
2024-04-04T19:55:14.686923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_rhode_island
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3837 
True
 
63
ValueCountFrequency (%)
False 3837
98.4%
True 63
 
1.6%
2024-04-04T19:55:14.888093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_south_carolina
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3824 
True
 
76
ValueCountFrequency (%)
False 3824
98.1%
True 76
 
1.9%
2024-04-04T19:55:15.103800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_south_dakota
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3830 
True
 
70
ValueCountFrequency (%)
False 3830
98.2%
True 70
 
1.8%
2024-04-04T19:55:15.333160image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_tennessee
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3823 
True
 
77
ValueCountFrequency (%)
False 3823
98.0%
True 77
 
2.0%
2024-04-04T19:55:15.535733image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_texas
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3823 
True
 
77
ValueCountFrequency (%)
False 3823
98.0%
True 77
 
2.0%
2024-04-04T19:55:15.684286image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_utah
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3829 
True
 
71
ValueCountFrequency (%)
False 3829
98.2%
True 71
 
1.8%
2024-04-04T19:55:15.875207image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_vermont
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3815 
True
 
85
ValueCountFrequency (%)
False 3815
97.8%
True 85
 
2.2%
2024-04-04T19:55:16.076675image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_virginia
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3823 
True
 
77
ValueCountFrequency (%)
False 3823
98.0%
True 77
 
2.0%
2024-04-04T19:55:16.341033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_washington
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3827 
True
 
73
ValueCountFrequency (%)
False 3827
98.1%
True 73
 
1.9%
2024-04-04T19:55:16.589696image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_west_virginia
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3819 
True
 
81
ValueCountFrequency (%)
False 3819
97.9%
True 81
 
2.1%
2024-04-04T19:55:16.860090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_wisconsin
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3825 
True
 
75
ValueCountFrequency (%)
False 3825
98.1%
True 75
 
1.9%
2024-04-04T19:55:17.092549image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

location_wyoming
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3829 
True
 
71
ValueCountFrequency (%)
False 3829
98.2%
True 71
 
1.8%
2024-04-04T19:55:17.345883image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

size_l
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2847 
True
1053 
ValueCountFrequency (%)
False 2847
73.0%
True 1053
 
27.0%
2024-04-04T19:55:17.563248image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

size_m
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2145 
True
1755 
ValueCountFrequency (%)
False 2145
55.0%
True 1755
45.0%
2024-04-04T19:55:17.742838image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

size_s
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3237 
True
663 
ValueCountFrequency (%)
False 3237
83.0%
True 663
 
17.0%
2024-04-04T19:55:17.919882image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

size_xl
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3471 
True
429 
ValueCountFrequency (%)
False 3471
89.0%
True 429
 
11.0%
2024-04-04T19:55:18.092579image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_beige
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3753 
True
 
147
ValueCountFrequency (%)
False 3753
96.2%
True 147
 
3.8%
2024-04-04T19:55:18.263247image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_black
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3733 
True
 
167
ValueCountFrequency (%)
False 3733
95.7%
True 167
 
4.3%
2024-04-04T19:55:18.445086image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_blue
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3748 
True
 
152
ValueCountFrequency (%)
False 3748
96.1%
True 152
 
3.9%
2024-04-04T19:55:18.601535image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_brown
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3759 
True
 
141
ValueCountFrequency (%)
False 3759
96.4%
True 141
 
3.6%
2024-04-04T19:55:18.781118image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_charcoal
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3747 
True
 
153
ValueCountFrequency (%)
False 3747
96.1%
True 153
 
3.9%
2024-04-04T19:55:18.963405image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_cyan
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3734 
True
 
166
ValueCountFrequency (%)
False 3734
95.7%
True 166
 
4.3%
2024-04-04T19:55:19.144742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_gold
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3762 
True
 
138
ValueCountFrequency (%)
False 3762
96.5%
True 138
 
3.5%
2024-04-04T19:55:19.349732image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_gray
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3741 
True
 
159
ValueCountFrequency (%)
False 3741
95.9%
True 159
 
4.1%
2024-04-04T19:55:19.575317image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_green
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3731 
True
 
169
ValueCountFrequency (%)
False 3731
95.7%
True 169
 
4.3%
2024-04-04T19:55:19.806357image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_indigo
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3753 
True
 
147
ValueCountFrequency (%)
False 3753
96.2%
True 147
 
3.8%
2024-04-04T19:55:20.014218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_lavender
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3753 
True
 
147
ValueCountFrequency (%)
False 3753
96.2%
True 147
 
3.8%
2024-04-04T19:55:20.177332image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_magenta
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3748 
True
 
152
ValueCountFrequency (%)
False 3748
96.1%
True 152
 
3.9%
2024-04-04T19:55:20.490022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_maroon
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3742 
True
 
158
ValueCountFrequency (%)
False 3742
95.9%
True 158
 
4.1%
2024-04-04T19:55:20.793812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_olive
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3723 
True
 
177
ValueCountFrequency (%)
False 3723
95.5%
True 177
 
4.5%
2024-04-04T19:55:21.103195image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_orange
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3746 
True
 
154
ValueCountFrequency (%)
False 3746
96.1%
True 154
 
3.9%
2024-04-04T19:55:21.401002image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_peach
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3751 
True
 
149
ValueCountFrequency (%)
False 3751
96.2%
True 149
 
3.8%
2024-04-04T19:55:23.691539image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_pink
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3747 
True
 
153
ValueCountFrequency (%)
False 3747
96.1%
True 153
 
3.9%
2024-04-04T19:55:23.890443image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_purple
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3749 
True
 
151
ValueCountFrequency (%)
False 3749
96.1%
True 151
 
3.9%
2024-04-04T19:55:24.094580image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_red
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3752 
True
 
148
ValueCountFrequency (%)
False 3752
96.2%
True 148
 
3.8%
2024-04-04T19:55:24.267335image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_silver
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3727 
True
 
173
ValueCountFrequency (%)
False 3727
95.6%
True 173
 
4.4%
2024-04-04T19:55:24.502662image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_teal
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3728 
True
 
172
ValueCountFrequency (%)
False 3728
95.6%
True 172
 
4.4%
2024-04-04T19:55:24.687047image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_turquoise
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3755 
True
 
145
ValueCountFrequency (%)
False 3755
96.3%
True 145
 
3.7%
2024-04-04T19:55:24.883145image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_violet
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3734 
True
 
166
ValueCountFrequency (%)
False 3734
95.7%
True 166
 
4.3%
2024-04-04T19:55:25.100388image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_white
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3758 
True
 
142
ValueCountFrequency (%)
False 3758
96.4%
True 142
 
3.6%
2024-04-04T19:55:25.328804image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

color_yellow
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3726 
True
 
174
ValueCountFrequency (%)
False 3726
95.5%
True 174
 
4.5%
2024-04-04T19:55:25.596217image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2925 
True
975 
ValueCountFrequency (%)
False 2925
75.0%
True 975
 
25.0%
2024-04-04T19:55:25.830850image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2901 
True
999 
ValueCountFrequency (%)
False 2901
74.4%
True 999
 
25.6%
2024-04-04T19:55:26.097500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2945 
True
955 
ValueCountFrequency (%)
False 2945
75.5%
True 955
 
24.5%
2024-04-04T19:55:26.352361image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2929 
True
971 
ValueCountFrequency (%)
False 2929
75.1%
True 971
 
24.9%
2024-04-04T19:55:26.504156image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

subscription_status_no
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
True
2847 
False
1053 
ValueCountFrequency (%)
True 2847
73.0%
False 1053
 
27.0%
2024-04-04T19:55:26.709688image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

subscription_status_yes
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2847 
True
1053 
ValueCountFrequency (%)
False 2847
73.0%
True 1053
 
27.0%
2024-04-04T19:55:26.890879image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3273 
True
627 
ValueCountFrequency (%)
False 3273
83.9%
True 627
 
16.1%
2024-04-04T19:55:27.063760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3254 
True
646 
ValueCountFrequency (%)
False 3254
83.4%
True 646
 
16.6%
2024-04-04T19:55:27.319444image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3225 
True
675 
ValueCountFrequency (%)
False 3225
82.7%
True 675
 
17.3%
2024-04-04T19:55:27.536213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3252 
True
648 
ValueCountFrequency (%)
False 3252
83.4%
True 648
 
16.6%
2024-04-04T19:55:27.718428image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3246 
True
654 
ValueCountFrequency (%)
False 3246
83.2%
True 654
 
16.8%
2024-04-04T19:55:27.917237image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3250 
True
650 
ValueCountFrequency (%)
False 3250
83.3%
True 650
 
16.7%
2024-04-04T19:55:28.177231image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

discount_applied_no
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
True
2223 
False
1677 
ValueCountFrequency (%)
True 2223
57.0%
False 1677
43.0%
2024-04-04T19:55:28.424272image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

discount_applied_yes
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2223 
True
1677 
ValueCountFrequency (%)
False 2223
57.0%
True 1677
43.0%
2024-04-04T19:55:28.684979image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

promo_code_used_no
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
True
2223 
False
1677 
ValueCountFrequency (%)
True 2223
57.0%
False 1677
43.0%
2024-04-04T19:55:28.894180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

promo_code_used_yes
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
2223 
True
1677 
ValueCountFrequency (%)
False 2223
57.0%
True 1677
43.0%
2024-04-04T19:55:29.074939image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3288 
True
612 
ValueCountFrequency (%)
False 3288
84.3%
True 612
 
15.7%
2024-04-04T19:55:29.288485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3230 
True
670 
ValueCountFrequency (%)
False 3230
82.8%
True 670
 
17.2%
2024-04-04T19:55:29.666680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3229 
True
671 
ValueCountFrequency (%)
False 3229
82.8%
True 671
 
17.2%
2024-04-04T19:55:30.013022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3264 
True
636 
ValueCountFrequency (%)
False 3264
83.7%
True 636
 
16.3%
2024-04-04T19:55:30.294844image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3223 
True
677 
ValueCountFrequency (%)
False 3223
82.6%
True 677
 
17.4%
2024-04-04T19:55:30.486014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3266 
True
634 
ValueCountFrequency (%)
False 3266
83.7%
True 634
 
16.3%
2024-04-04T19:55:30.654956image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3328 
True
572 
ValueCountFrequency (%)
False 3328
85.3%
True 572
 
14.7%
2024-04-04T19:55:30.801219image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3353 
True
547 
ValueCountFrequency (%)
False 3353
86.0%
True 547
 
14.0%
2024-04-04T19:55:30.981225image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3316 
True
584 
ValueCountFrequency (%)
False 3316
85.0%
True 584
 
15.0%
2024-04-04T19:55:31.217851image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3358 
True
542 
ValueCountFrequency (%)
False 3358
86.1%
True 542
 
13.9%
2024-04-04T19:55:31.583421image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3347 
True
553 
ValueCountFrequency (%)
False 3347
85.8%
True 553
 
14.2%
2024-04-04T19:55:31.954770image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3337 
True
563 
ValueCountFrequency (%)
False 3337
85.6%
True 563
 
14.4%
2024-04-04T19:55:32.306930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3361 
True
539 
ValueCountFrequency (%)
False 3361
86.2%
True 539
 
13.8%
2024-04-04T19:55:32.667879image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

cluster
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
0
2652 
1
1248 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3,900
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2652
68.0%
1 1248
32.0%

Length

2024-04-04T19:55:33.047115image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-04T19:55:33.321473image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 2652
68.0%
1 1248
32.0%

Most occurring characters

ValueCountFrequency (%)
0 2652
68.0%
1 1248
32.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3900
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2652
68.0%
1 1248
32.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2652
68.0%
1 1248
32.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2652
68.0%
1 1248
32.0%

distance
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3900
Missing (%)100.0%
Memory size30.6 KiB

Interactions

2024-04-04T19:54:48.642233image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:45.619560image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:46.595970image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:47.583306image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:48.887064image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:45.897093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:46.847088image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:47.836311image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:49.164542image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:46.130087image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:47.095888image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:48.094462image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:49.399922image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:46.366121image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:47.313927image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-04T19:54:48.327468image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-04-04T19:55:34.213578image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
agecategory_accessoriescategory_clothingcategory_footwearcategory_outerwearclustercolor_beigecolor_blackcolor_bluecolor_browncolor_charcoalcolor_cyancolor_goldcolor_graycolor_greencolor_indigocolor_lavendercolor_magentacolor_marooncolor_olivecolor_orangecolor_peachcolor_pinkcolor_purplecolor_redcolor_silvercolor_tealcolor_turquoisecolor_violetcolor_whitecolor_yellowdiscount_applied_nodiscount_applied_yesfrequency_of_purchases_annuallyfrequency_of_purchases_biweeklyfrequency_of_purchases_every_3_monthsfrequency_of_purchases_fortnightlyfrequency_of_purchases_monthlyfrequency_of_purchases_quarterlyfrequency_of_purchases_weeklygender_femalegender_maleitem_purchased_backpackitem_purchased_beltitem_purchased_blouseitem_purchased_bootsitem_purchased_coatitem_purchased_dressitem_purchased_glovesitem_purchased_handbagitem_purchased_hatitem_purchased_hoodieitem_purchased_jacketitem_purchased_jeansitem_purchased_jewelryitem_purchased_pantsitem_purchased_sandalsitem_purchased_scarfitem_purchased_shirtitem_purchased_shoesitem_purchased_shortsitem_purchased_skirtitem_purchased_sneakersitem_purchased_socksitem_purchased_sunglassesitem_purchased_sweateritem_purchased_tshirtlocation_alabamalocation_alaskalocation_arizonalocation_arkansaslocation_californialocation_coloradolocation_connecticutlocation_delawarelocation_floridalocation_georgialocation_hawaiilocation_idaholocation_illinoislocation_indianalocation_iowalocation_kansaslocation_kentuckylocation_louisianalocation_mainelocation_marylandlocation_massachusettslocation_michiganlocation_minnesotalocation_mississippilocation_missourilocation_montanalocation_nebraskalocation_nevadalocation_new_hampshirelocation_new_jerseylocation_new_mexicolocation_new_yorklocation_north_carolinalocation_north_dakotalocation_ohiolocation_oklahomalocation_oregonlocation_pennsylvanialocation_rhode_islandlocation_south_carolinalocation_south_dakotalocation_tennesseelocation_texaslocation_utahlocation_vermontlocation_virginialocation_washingtonlocation_west_virginialocation_wisconsinlocation_wyomingpayment_method_bank_transferpayment_method_cashpayment_method_credit_cardpayment_method_debit_cardpayment_method_paypalpayment_method_venmoprevious_purchasespromo_code_used_nopromo_code_used_yespurchase_amount_usdreview_ratingseason_fallseason_springseason_summerseason_wintershipping_type_2day_shippingshipping_type_expressshipping_type_free_shippingshipping_type_next_day_airshipping_type_standardshipping_type_store_pickupsize_lsize_msize_ssize_xlsubscription_status_nosubscription_status_yes
age1.0000.0000.0000.0340.0000.0000.0130.0000.0000.0220.0000.0150.0000.0000.0380.0000.0000.0080.0000.0330.0150.0000.0260.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0560.0280.0000.0000.0000.0000.0000.0000.0000.0440.0140.0000.0060.0240.0000.0000.0000.0330.0470.0260.0350.0590.0000.0000.0000.0360.0230.0000.0000.0000.0430.0000.0000.0000.0070.0000.0000.0310.0230.0320.0490.0620.0510.0000.0420.0340.0430.0350.0370.0000.0000.0550.0000.0290.0000.0290.0250.0340.0000.0000.0160.0060.0000.0000.0390.0260.0000.0310.0280.0340.0000.0290.0550.0110.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0290.0270.0000.0370.0430.0410.0000.000-0.010-0.0220.0000.0270.0000.0260.0200.0520.0000.0270.0000.0240.0000.0000.0250.0590.0000.000
category_accessories0.0001.0000.6110.2900.2040.0000.0000.0000.0240.0000.0040.0000.0000.0150.0000.0000.0000.0210.0180.0180.0000.0240.0200.0140.0090.0000.0110.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2840.3020.1440.1310.1390.1420.2810.2940.2950.1350.1400.1210.3120.1440.1390.2980.1430.1340.1380.1380.1320.1380.3020.1410.1330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0120.0000.0080.0000.0000.0170.0000.0000.0290.0000.0180.0080.0000.0000.0000.0000.0000.0140.0120.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0090.0000.0000.0140.0000.0000.0000.0170.0000.0180.0000.0000.0020.0180.0060.0130.0000.0000.0000.0000.0230.0000.0000.0000.0300.0000.0220.0000.0000.000
category_clothing0.0000.6111.0000.3810.2680.0000.0000.0000.0460.0000.0000.0000.0000.0150.0000.0020.0000.0150.0270.0400.0170.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0010.0010.0000.0000.0000.0210.0180.0040.0000.0000.0000.1730.1840.2370.1730.1840.2330.1710.1790.1800.2220.1850.2000.1900.2370.1830.1820.2360.1770.2270.2270.1740.2280.1840.2320.2190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0230.0000.0060.0150.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0060.0180.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0080.0000.0040.0000.0000.0180.0000.0000.0050.0000.0000.0000.0200.004-0.0090.0010.0010.010-0.0340.0000.0000.0120.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
category_footwear0.0340.2900.3811.0000.1260.0000.0000.0000.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0170.0000.0000.0080.0000.0030.0000.0000.0000.0000.0000.0000.0190.0110.0000.0000.0000.0000.0800.0850.0880.4580.0850.0870.0790.0830.0830.0820.0860.0730.0880.0880.4840.0840.0870.4670.0840.0840.4590.0850.0850.0860.0810.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0290.0000.0180.0000.0000.0060.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.011-0.0040.0000.0000.0090.0240.0150.0000.0140.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.000
category_outerwear0.0000.2040.2680.1261.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0010.0000.0150.0060.0130.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0540.0580.0600.0540.6870.0590.0530.0560.0560.0560.6910.0490.0600.0600.0580.0570.0600.0560.0570.0570.0540.0580.0580.0590.0550.0000.0000.0000.0000.0000.0000.0120.0170.0120.0290.0000.0000.0000.0000.0110.0000.0110.0240.0000.0000.0000.0000.0070.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0390.0110.0150.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.000-0.0080.0000.000-0.033-0.0010.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0180.0000.000
cluster0.0000.0000.0000.0000.0001.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0180.0040.0000.0000.0000.0060.0000.0000.0000.5950.5950.0000.0120.0000.0000.0000.0050.0000.9990.9990.0180.0000.0240.0000.0000.0000.0140.0180.0000.0000.0000.0280.0000.0050.0120.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0220.0000.0000.0260.0100.0370.0040.0000.0000.0000.0210.0000.0000.0000.0240.0180.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.000-0.0360.5950.5950.014-0.0080.0110.0000.0000.0000.0000.0080.0440.0170.0000.0120.0000.0260.0320.0000.4160.416
color_beige0.0130.0000.0000.0000.0000.0101.0000.0350.0330.0310.0330.0350.0300.0340.0350.0320.0320.0330.0340.0370.0330.0320.0330.0330.0320.0360.0360.0310.0350.0310.0360.0000.0000.0000.0000.0130.0000.0000.0120.0000.0100.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0060.0000.0000.0140.0000.0000.0000.0000.0050.0000.0000.0000.0120.0170.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0230.0160.0000.0000.0000.0000.0030.0000.0000.0260.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0240.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0060.0000.0000.005-0.0390.0000.0000.0000.0000.0000.0190.0000.0090.0000.0150.0230.0000.0000.0220.0000.000
color_black0.0000.0000.0000.0000.0000.0000.0351.0000.0360.0340.0360.0380.0330.0370.0390.0350.0350.0360.0370.0400.0360.0350.0360.0360.0350.0390.0390.0350.0380.0340.0400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0150.0070.0080.0000.0000.0000.0000.0000.0000.0230.0120.0000.0000.0000.0000.0000.0000.0000.0470.0000.0060.0040.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0060.0430.0000.0050.0000.0000.0000.0040.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0070.0000.000-0.0120.0270.0000.0000.0000.0000.0000.0040.0000.0000.0100.0000.0140.0050.0000.0000.0150.015
color_blue0.0000.0240.0460.0000.0230.0000.0330.0361.0000.0320.0340.0360.0310.0350.0360.0330.0330.0340.0340.0370.0340.0330.0340.0330.0330.0370.0370.0320.0360.0320.0370.0000.0000.0000.0400.0000.0000.0000.0000.0070.0000.0000.0000.0310.0000.0000.0000.0000.0000.0000.0000.0030.0220.0000.0000.0000.0240.0160.0000.0000.0000.0080.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0060.0170.0000.0000.0000.0000.0310.0000.0170.0000.0000.0000.0060.0000.0000.0000.0000.0190.0000.0000.0000.0300.0000.0000.000-0.0230.0000.000-0.024-0.0230.0050.0000.0200.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0210.0000.000
color_brown0.0220.0000.0000.0000.0000.0000.0310.0340.0321.0000.0320.0340.0290.0330.0340.0310.0310.0320.0330.0350.0320.0310.0320.0310.0310.0350.0350.0300.0340.0300.0350.0120.0120.0000.0290.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0230.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0120.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0320.0140.0120.012-0.006-0.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
color_charcoal0.0000.0040.0000.0250.0000.0000.0330.0360.0340.0321.0000.0360.0310.0350.0360.0330.0330.0340.0350.0380.0340.0330.0340.0340.0330.0370.0370.0320.0360.0320.0370.0200.0200.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0140.0000.0000.0000.0280.0000.0340.0000.0000.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0190.0000.0000.0000.0160.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0100.0170.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0200.0000.0030.0070.004-0.0140.0200.0200.0080.0100.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0120.0000.0000.0000.000
color_cyan0.0150.0000.0000.0000.0000.0000.0350.0380.0360.0340.0361.0000.0330.0370.0390.0350.0350.0360.0370.0400.0360.0350.0360.0360.0350.0390.0390.0350.0380.0340.0390.0000.0000.0140.0000.0000.0030.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0150.0180.0000.0000.0000.0000.0120.0000.0210.0000.0290.0000.0000.0090.0000.0000.0140.0000.0240.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0550.0000.0000.0000.0000.0000.0000.0000.0000.0210.0050.0130.0000.0000.0000.0270.0000.0000.019-0.0370.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0170.0140.0000.0000.000
color_gold0.0000.0000.0000.0000.0000.0000.0300.0330.0310.0290.0310.0331.0000.0320.0340.0300.0300.0310.0320.0350.0310.0310.0310.0310.0300.0340.0340.0300.0330.0290.0340.0000.0000.0000.0110.0160.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0170.0000.0000.0000.0130.0290.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0130.0380.0000.0000.0000.0000.021-0.0140.0000.0000.010-0.0210.0000.0000.0000.0000.0000.0000.0000.0180.0310.0270.0000.0000.0000.0000.0140.014
color_gray0.0000.0150.0150.0000.0000.0000.0340.0370.0350.0330.0350.0370.0321.0000.0370.0340.0340.0350.0360.0390.0350.0340.0350.0340.0340.0380.0380.0330.0370.0330.0380.0000.0000.0000.0000.0130.0000.0300.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0380.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.0120.0000.0060.0000.0070.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0420.0000.0000.0240.0380.0000.0120.0000.0330.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
color_green0.0380.0000.0000.0000.0000.0000.0350.0390.0360.0340.0360.0390.0340.0371.0000.0350.0350.0360.0370.0400.0370.0360.0360.0360.0360.0400.0400.0350.0390.0340.0400.0000.0000.0000.0000.0000.0000.0120.0200.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0200.0100.0000.0000.0210.0000.0000.0060.0000.0000.0000.0000.0000.0230.0270.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0240.0000.0000.0000.0230.0000.0000.0040.0000.0160.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.018-0.0110.0000.0000.054-0.0190.0000.0000.0000.0150.0000.0000.0000.0200.0300.0000.0190.0000.0070.0000.0000.000
color_indigo0.0000.0000.0020.0000.0000.0000.0320.0350.0330.0310.0330.0350.0300.0340.0351.0000.0320.0330.0340.0370.0330.0320.0330.0330.0320.0360.0360.0310.0350.0310.0360.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0000.0060.0000.0000.0000.0040.0000.0400.0060.0000.0190.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0170.0130.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0100.0000.0000.0150.0000.0000.0000.0000.0000.0000.0050.0000.0000.0270.0000.000-0.0120.0000.000-0.029-0.0160.0000.0000.0000.0000.0080.0000.0080.0000.0000.0000.0000.0060.0000.0000.0000.000
color_lavender0.0000.0000.0000.0000.0010.0000.0320.0350.0330.0310.0330.0350.0300.0340.0350.0321.0000.0330.0340.0370.0330.0320.0330.0330.0320.0360.0360.0310.0350.0310.0360.0000.0000.0260.0160.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0150.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0230.0000.0330.0080.0000.0050.0000.0000.0000.0000.0000.0000.0000.0140.0000.0140.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.001-0.0020.0000.000-0.005-0.0110.0000.0000.0000.0000.0000.0070.0140.0330.0000.0000.0000.0000.0000.0000.0000.000
color_magenta0.0080.0210.0150.0000.0000.0160.0330.0360.0340.0320.0340.0360.0310.0350.0360.0330.0331.0000.0340.0370.0340.0330.0340.0330.0330.0370.0370.0320.0360.0320.0370.0000.0000.0470.0210.0000.0000.0000.0000.0000.0160.0160.0000.0000.0000.0000.0000.0110.0150.0000.0060.0000.0000.0000.0000.0000.0190.0010.0000.0000.0000.0000.0120.0000.0000.0100.0000.0080.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0490.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0150.0000.000-0.0230.0260.0310.0000.0000.0160.0150.0180.0050.0130.0000.0240.0200.0000.0000.0190.0000.000
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location_ohio0.0280.0000.0000.0240.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0190.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0200.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0400.0000.0000.0000.0250.019-0.0020.0000.0000.0040.0130.0000.0360.0000.0000.0200.0210.0000.0000.0000.0090.0110.0100.0000.0000.0000.000
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location_south_dakota0.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0040.0180.0150.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0070.0000.0000.004-0.0140.0160.0000.0000.0070.0060.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.000
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location_texas0.0000.0000.0080.0000.0000.0270.0000.0000.0000.0060.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0200.0000.0000.0000.0000.0060.0060.0000.0000.0000.0000.0000.0000.0000.0270.0270.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0200.0000.0000.0000.0000.0400.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0380.0060.0060.0080.0310.0210.0150.0000.0000.0190.0000.0190.0000.0000.0000.0000.0080.0220.0000.0150.015
location_utah0.0000.0000.0000.0000.0000.0000.0240.0000.0060.0120.0000.0000.0000.0000.0160.0150.0090.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.016-0.0140.0200.0190.0000.0000.0000.0000.0030.0000.0000.0160.0000.0000.0000.0000.0000.000
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location_virginia0.0080.0000.0000.0000.0000.0000.0170.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0230.0000.0370.0000.0000.000-0.0180.0000.0000.019-0.0080.0190.0000.0000.0160.0000.0090.0000.0030.0080.0000.0000.0000.0000.0000.0000.000
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location_west_virginia0.0000.0090.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0060.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0340.0070.0000.0260.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0340.0060.0000.0030.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0050.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0010.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0060.0280.0000.000-0.0180.0060.0060.025-0.0350.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0100.0000.0000.0000.0160.016
location_wisconsin0.0000.0000.0000.0000.0090.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0200.0240.0120.0160.0140.0000.0050.0000.0000.0090.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0310.0050.0000.0000.0000.000-0.0230.0000.000-0.0230.0280.0000.0340.0160.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0230.023
location_wyoming0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0160.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0110.0000.0150.0380.0250.0000.0270.0000.0000.005-0.0100.0000.0000.0210.0060.0000.0000.0000.0000.0000.0180.0000.0000.0070.0000.0000.000
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payment_method_cash0.0290.0000.0000.0000.0000.0000.0000.0070.0000.0000.0200.0050.0000.0190.0000.0000.0100.0000.0000.0240.0000.0240.0000.0000.0000.0000.0000.0000.0220.0190.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0250.0000.0000.0000.0210.0000.0000.0000.0000.0000.0260.0250.0000.0240.0000.0000.0000.0000.0150.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0140.0070.0140.0030.0340.0000.0260.0000.0000.0000.0000.0000.0000.0000.0080.0060.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.1951.0000.2060.2000.2070.199-0.0030.0000.000-0.0010.0010.0060.0000.0000.0080.0000.0000.0000.0000.0000.0000.0130.0100.0210.0230.0000.000
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payment_method_debit_card0.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0030.0000.0000.0000.0000.0270.0000.0000.0000.0000.0000.0000.0260.0000.0000.0110.0150.0100.0000.0000.0000.0140.0140.0000.0000.0000.0000.0110.0000.0130.0290.0290.0000.0000.0000.0200.0000.0000.0000.0170.0000.0140.0000.0000.0000.0000.0170.0000.0120.0000.0000.0000.0000.0000.0000.0000.0260.0170.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0210.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0110.0000.0110.0000.0000.0000.0000.0090.0280.0000.0380.1890.2000.2001.0000.2010.1930.0070.0140.0140.0210.0060.0000.0000.0000.0280.0040.0000.0000.0000.0120.0000.0190.0000.0000.0000.0230.023
payment_method_paypal0.0370.0170.0200.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0310.0220.0000.0300.0000.0100.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0060.0000.0100.0000.0000.0270.0000.0000.0000.0000.0000.0000.0290.0280.0110.0000.0000.0340.0180.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0110.0120.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0000.0000.0190.0080.0000.0120.0000.0000.0000.0000.0000.0000.0000.0250.1960.2070.2070.2011.0000.2000.0050.0000.000-0.010-0.0000.0390.0100.0000.0270.0000.0250.0000.0000.0000.0060.0000.0000.0000.0060.0000.000
payment_method_venmo0.0430.0000.0040.0110.0000.0000.0000.0000.0000.0320.0040.0000.0210.0000.0180.0000.0010.0000.0000.0000.0170.0000.0160.0000.0000.0000.0090.0000.0000.0000.0000.0080.0080.0100.0000.0000.0000.0000.0120.0030.0000.0000.0000.0030.0000.0000.0090.0000.0000.0120.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0050.0000.0550.0000.0000.0130.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0190.0000.0000.0000.0000.0130.0000.0250.0000.0000.0000.0000.0000.0000.0000.0000.1880.1990.1990.1930.2001.0000.0090.0080.008-0.0150.0010.0240.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.000
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promo_code_used_no0.0000.0000.0010.0000.0000.5950.0000.0000.0000.0120.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0220.0000.0000.0000.0000.0000.0000.0210.0000.9990.9990.0000.0000.0000.0000.0000.0000.0000.5950.5950.0000.0000.0340.0000.0180.0000.0000.0000.0220.0000.0000.0000.0000.0070.0180.0000.0000.0000.0000.0050.0190.0380.0000.0130.0000.0000.0000.0150.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0350.0160.0450.0000.0000.0130.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0080.0000.0060.0060.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0140.0000.0080.0281.0000.9990.0180.0120.0210.0000.0000.0000.0120.0000.0020.0150.0000.0000.0000.0000.0140.0000.7000.700
promo_code_used_yes0.0000.0000.0010.0000.0000.5950.0000.0000.0000.0120.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0220.0000.0000.0000.0000.0000.0000.0210.0000.9990.9990.0000.0000.0000.0000.0000.0000.0000.5950.5950.0000.0000.0340.0000.0180.0000.0000.0000.0220.0000.0000.0000.0000.0070.0180.0000.0000.0000.0000.0050.0190.0380.0000.0130.0000.0000.0000.0150.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0350.0160.0450.0000.0000.0130.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0080.0000.0060.0060.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0140.0000.0080.0280.9991.000-0.018-0.0120.0210.0000.0000.0000.0120.0000.0020.0150.0000.0000.0000.0000.0140.0000.7000.700
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season_fall0.0000.0060.0000.0150.0000.0110.0000.0000.0050.0000.0070.0000.0000.0000.0000.0000.0000.0310.0000.0000.0090.0000.0000.0000.0000.0000.0000.0220.0000.0200.0060.0210.0210.0160.0230.0000.0000.0000.0000.0000.0110.0110.0000.0000.0000.0000.0060.0000.0000.0230.0290.0000.0340.0000.0140.0000.0000.0000.0000.0300.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0070.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0280.0160.0000.0210.0200.0000.0190.0190.0000.0000.0000.0000.0060.0000.0000.0390.0240.0000.0210.0210.0410.0001.0000.3380.3280.3310.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.000
season_spring0.0270.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0110.0110.0000.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0320.0000.0090.0000.0000.0280.0000.0000.0000.0000.0100.0000.0000.0000.0160.0230.0000.0000.0310.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0130.0000.0180.0000.0170.0220.0000.0360.0000.0000.0000.0000.0140.0000.0000.0150.0190.0240.0000.0130.0000.0340.0000.0230.0000.0000.0000.0100.0150.0000.0000.0000.0340.0000.3381.0000.3330.3370.0220.0000.0000.0180.0000.0000.0070.0000.0000.0000.0000.000
season_summer0.0000.0000.0120.0140.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0340.0180.0000.0000.0440.0090.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0000.0000.0000.0070.0000.0000.0000.0050.0100.0000.0000.0150.0000.0000.0000.0220.0000.0260.0000.0000.0000.0310.0060.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0050.0160.0000.0060.0000.0000.0000.0000.0000.0000.0140.0150.0000.0000.0000.0000.0200.0000.0050.0000.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0210.0000.0000.0000.0000.0000.0000.0250.0000.0000.0150.0220.3280.3331.0000.3270.0000.0130.0130.0000.0000.0000.0000.0070.0000.0150.0000.000
season_winter0.0260.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0150.0000.0000.0160.0000.0000.0000.0160.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0000.0160.0150.0050.0150.0000.0000.0000.0000.0000.0300.0000.0000.0090.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0130.0000.0220.0120.0000.0130.0000.0110.0170.0000.0000.0190.0000.0230.0000.0000.0000.0000.0000.0300.0000.0000.0280.0370.0070.0000.0000.0000.0340.0160.0000.0000.0000.0060.0040.0080.0000.0280.0270.0000.0000.0000.0000.0000.0000.3310.3370.3271.0000.0000.0000.0000.0160.0000.0000.0170.0130.0120.0180.0000.000
shipping_type_2day_shipping0.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0150.0000.0000.0000.0040.0000.0000.0000.0080.0000.0080.0000.0000.0000.0120.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0270.0290.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0100.0000.0000.0000.0000.0070.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0290.0300.0000.0000.0000.0060.0130.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0040.0000.0000.0000.0120.0120.0000.0000.0000.0220.0000.0001.0000.1930.1990.1940.1950.1940.0000.0000.0000.0050.0190.019
shipping_type_express0.0520.0000.0000.0000.0000.0080.0190.0040.0000.0210.0000.0000.0000.0080.0000.0000.0070.0180.0000.0000.0000.0150.0200.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0070.0000.0000.0000.0000.0000.0080.0080.0000.0000.0000.0170.0050.0000.0110.0000.0070.0110.0000.0000.0000.0180.0000.0250.0000.0000.0000.0170.0000.0300.0000.0090.0000.0150.0000.0000.0000.0000.0360.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0090.0000.0230.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0000.0150.0160.0210.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0100.0000.0000.0000.0250.0000.0000.0000.0000.0440.0220.0000.0000.0130.0000.1931.0000.2020.1970.1980.1980.0000.0000.0000.0170.0170.017
shipping_type_free_shipping0.0000.0230.0000.0290.0090.0440.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0140.0050.0000.0000.0000.0000.0000.0000.0240.0090.0280.0000.0160.0000.0270.0020.0020.0180.0180.0000.0230.0000.0000.0280.0440.0440.0250.0000.0000.0000.0000.0000.0000.0130.0000.0000.0380.0000.0000.0000.0000.0110.0000.0250.0000.0000.0000.0000.0110.0370.0080.0210.0000.0000.0000.0000.0000.0300.0140.0190.0090.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0120.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0130.0000.0000.0000.0150.0000.0000.0090.0000.0170.0000.0190.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0020.0020.0110.0500.0000.0000.0130.0000.1990.2021.0000.2030.2040.2030.0000.0000.0000.0000.0000.000
shipping_type_next_day_air0.0270.0000.0000.0000.0000.0170.0090.0000.0000.0000.0000.0070.0180.0000.0200.0000.0330.0130.0000.0000.0000.0000.0000.0000.0000.0250.0000.0000.0000.0210.0000.0150.0150.0210.0000.0150.0000.0100.0000.0000.0170.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0040.0000.0140.0260.0000.0000.0000.0080.0000.0040.0040.0000.0160.0000.0000.0080.0000.0000.0210.0000.0000.0000.0000.0210.0140.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0310.0150.0150.0250.0000.0000.0180.0000.0160.1940.1970.2031.0000.1990.1980.0000.0000.0000.0000.0000.000
shipping_type_standard0.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0310.0000.0300.0000.0000.0000.0000.0320.0000.0110.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0130.0000.0400.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0180.0240.0000.0000.0000.0000.0420.0000.0000.0000.0000.0000.0250.0160.0000.0000.0000.0000.0000.0170.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0080.0000.0110.0000.0000.0060.0000.0000.0120.0000.0000.0380.0000.0000.0150.0460.0000.0000.0000.0000.1950.1980.2040.1991.0000.1990.0000.0000.0220.0000.0000.000
shipping_type_store_pickup0.0240.0000.0000.0000.0000.0120.0150.0000.0000.0000.0000.0000.0270.0000.0000.0000.0000.0240.0000.0000.0000.0220.0000.0000.0070.0190.0000.0060.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0120.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0170.0000.0080.0000.0190.0000.0000.0200.0140.0000.0000.0330.0260.0210.0000.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0100.0100.0000.0000.0000.0100.0000.0000.0090.0190.0180.0110.0000.0000.0000.0000.0000.0160.0060.0000.0000.0000.0000.0180.0080.0000.0000.0000.0060.0000.0000.0000.0000.0350.0040.0220.0000.0000.0000.1940.1980.2030.1980.1991.0000.0000.0000.0040.0000.0150.015
size_l0.0000.0300.0000.0000.0000.0000.0230.0140.0110.0000.0210.0000.0000.0000.0190.0000.0000.0200.0000.0200.0000.0060.0260.0000.0000.0000.0120.0000.0000.0180.0280.0000.0000.0000.0000.0070.0000.0270.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0040.0100.0000.0000.0000.0000.0080.0000.0240.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0160.0000.0000.0000.0160.0000.0000.0000.0220.0200.0000.0220.0000.0090.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0080.0000.0000.0130.0000.0190.0000.0000.0000.0000.0000.0340.0000.0000.0070.0000.0170.0000.0000.0000.0000.0000.0001.0000.5490.2740.2120.0000.000
size_m0.0000.0000.0000.0000.0000.0260.0000.0050.0000.0000.0120.0170.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0090.0260.0090.0310.0000.0000.0000.0000.0110.0000.0000.0000.0030.0260.0260.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0390.0000.0000.0000.0000.0180.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0440.0150.0000.0000.0220.0200.0000.0060.0000.0000.0000.0130.0160.0000.0000.0260.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0160.0000.0000.0290.0380.0000.0000.0070.0130.0000.0000.0000.0000.0000.0000.5491.0000.4080.3170.0000.000
size_s0.0250.0220.0000.0000.0000.0320.0000.0000.0000.0000.0000.0140.0000.0000.0070.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0140.0000.0000.0000.0090.0000.0000.0000.0320.0320.0140.0270.0000.0000.0230.0000.0000.0000.0000.0000.0190.0060.0190.0000.0000.0000.0220.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0390.0000.0000.0200.0320.0000.0000.0000.0190.0080.0000.0000.0330.0000.0000.0100.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0020.0000.0190.0160.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0070.0000.0210.0130.0000.0000.0000.0000.0140.0140.0470.0000.0000.0000.0000.0120.0000.0000.0000.0000.0220.0040.2740.4081.0000.1570.0000.000
size_xl0.0590.0000.0000.0000.0180.0000.0220.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0190.0020.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0090.0080.0000.0000.0000.0000.0000.0000.0000.0180.0180.0000.0070.0000.0000.0000.0000.0140.0000.0030.0000.0000.0000.0100.0000.0060.0000.0000.0030.0000.0170.0000.0140.0000.0000.0000.0000.0170.0220.0000.0000.0290.0000.0000.0000.0000.0000.0080.0190.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0330.0000.0060.0270.0000.0000.0000.0000.0570.0000.0000.0150.0180.0050.0170.0000.0000.0000.0000.2120.3170.1571.0000.0000.000
subscription_status_no0.0000.0000.0000.0000.0000.4160.0000.0150.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0140.0000.0170.0170.0060.0000.0000.0000.0110.0000.0000.0000.7000.7000.0000.0000.0000.0000.0000.0100.0090.4160.4160.0000.0000.0470.0000.0130.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0130.0000.0000.0000.0000.0000.0000.0000.0100.0050.0000.0000.0000.0140.0000.0000.0000.0360.0060.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0190.0000.0210.0150.0000.0000.0000.0000.0160.0230.0000.0000.0000.0000.0230.0000.0000.0130.7000.7000.0300.0000.0000.0000.0000.0000.0190.0170.0000.0000.0000.0150.0000.0000.0000.0001.0000.999
subscription_status_yes0.0000.0000.0000.0000.0000.4160.0000.0150.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0140.0000.0170.0170.0060.0000.0000.0000.0110.0000.0000.0000.7000.7000.0000.0000.0000.0000.0000.0100.0090.4160.4160.0000.0000.0470.0000.0130.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0130.0000.0000.0000.0000.0000.0000.0000.0100.0050.0000.0000.0000.0140.0000.0000.0000.0360.0060.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0190.0000.0210.0150.0000.0000.0000.0000.0160.0230.0000.0000.0000.0000.0230.0000.0000.0130.7000.7000.0300.0000.0000.0000.0000.0000.0190.0170.0000.0000.0000.0150.0000.0000.0000.0000.9991.000

Missing values

2024-04-04T19:54:50.568863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-04T19:54:52.894210image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

agepurchase_amount_usdreview_ratingprevious_purchasesgender_femalegender_maleitem_purchased_backpackitem_purchased_beltitem_purchased_blouseitem_purchased_bootsitem_purchased_coatitem_purchased_dressitem_purchased_glovesitem_purchased_handbagitem_purchased_hatitem_purchased_hoodieitem_purchased_jacketitem_purchased_jeansitem_purchased_jewelryitem_purchased_pantsitem_purchased_sandalsitem_purchased_scarfitem_purchased_shirtitem_purchased_shoesitem_purchased_shortsitem_purchased_skirtitem_purchased_sneakersitem_purchased_socksitem_purchased_sunglassesitem_purchased_sweateritem_purchased_tshirtcategory_accessoriescategory_clothingcategory_footwearcategory_outerwearlocation_alabamalocation_alaskalocation_arizonalocation_arkansaslocation_californialocation_coloradolocation_connecticutlocation_delawarelocation_floridalocation_georgialocation_hawaiilocation_idaholocation_illinoislocation_indianalocation_iowalocation_kansaslocation_kentuckylocation_louisianalocation_mainelocation_marylandlocation_massachusettslocation_michiganlocation_minnesotalocation_mississippilocation_missourilocation_montanalocation_nebraskalocation_nevadalocation_new_hampshirelocation_new_jerseylocation_new_mexicolocation_new_yorklocation_north_carolinalocation_north_dakotalocation_ohiolocation_oklahomalocation_oregonlocation_pennsylvanialocation_rhode_islandlocation_south_carolinalocation_south_dakotalocation_tennesseelocation_texaslocation_utahlocation_vermontlocation_virginialocation_washingtonlocation_west_virginialocation_wisconsinlocation_wyomingsize_lsize_msize_ssize_xlcolor_beigecolor_blackcolor_bluecolor_browncolor_charcoalcolor_cyancolor_goldcolor_graycolor_greencolor_indigocolor_lavendercolor_magentacolor_marooncolor_olivecolor_orangecolor_peachcolor_pinkcolor_purplecolor_redcolor_silvercolor_tealcolor_turquoisecolor_violetcolor_whitecolor_yellowseason_fallseason_springseason_summerseason_wintersubscription_status_nosubscription_status_yesshipping_type_2day_shippingshipping_type_expressshipping_type_free_shippingshipping_type_next_day_airshipping_type_standardshipping_type_store_pickupdiscount_applied_nodiscount_applied_yespromo_code_used_nopromo_code_used_yespayment_method_bank_transferpayment_method_cashpayment_method_credit_cardpayment_method_debit_cardpayment_method_paypalpayment_method_venmofrequency_of_purchases_annuallyfrequency_of_purchases_biweeklyfrequency_of_purchases_every_3_monthsfrequency_of_purchases_fortnightlyfrequency_of_purchases_monthlyfrequency_of_purchases_quarterlyfrequency_of_purchases_weeklyclusterdistance
00.7115380.41250.240.265306FalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseTrueFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalse0NaN
10.0192310.55000.240.020408FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseTrueFalseFalseFalseFalseFalseTrueFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalse0NaN
20.6153850.66250.240.448980FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue0NaN
30.0576920.87500.400.979592FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrue0NaN
40.5192310.36250.080.612245FalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalse0NaN
50.5384620.00000.160.265306FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseTrue0NaN
60.8653850.81250.280.979592FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse0NaN
70.1730770.17500.280.367347FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue0NaN
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90.7500000.13750.920.061224FalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse0NaN
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